A hyperspectral band selection strategy based on adjacency clustering and local structural correlation-Reference-Cited by-同舟云学术

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A hyperspectral band selection strategy based on adjacency clustering and local structural correlation

Published:2024-01-28 Issue:3 Volume:45 Page:848-862
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Patro Ram Narayan¹^ORCID,Subudhi Subhashree¹,Biswal Pradyut Kumar¹^ORCID,Dell’acqua Fabio²^ORCID,Biswal Birendra³

Affiliation:

1. Department of Electronics and Communication Engineering, International Institute of Information Technology Bhubaneswar, Bhubaneswar, India

2. Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy

3. Department of ECE, Gayatri Vidya Parishad College of Engineering (A), Visakhapatnam, India

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2305178

Reference33 articles.

1. Fast hyperspectral band selection based on spatial feature extraction

2. Hyperspectral band selection with objective image quality assessment

3. Automatic Band Selection Using Spatial-Structure Information and Classifier-Based Clustering

4. Combination of Clustering and Ranking Techniques for Unsupervised Band Selection of Hyperspectral Images

5. Ester, M., H.-P. Kriegel, J. Sander, X. Xu. 1996. “A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.” 2nd International Conference on Knowledge Discovery and Data Mining, August 1996, 226–231.

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